Traditional networked radar fusion technology adopts an open-loop signal processing
manner, in which multiple nodes independently detect or track target first, and then send …

State-space models in which the system state is a finite set-called the multi-object state-have
generated considerable interest in recent years. Smoothing for state-space models provides …

This paper presents an efficient information-theoretic sensor management method to
maximize the performance of the passive multi-sensor system for multi-target tracking. We …

Multiple extended target tracking (METT) is a common and challenging problem. Various
solutions for METT have been proposed, however, most of them focus on the single-sensor …

This paper presents a new solution for multi-target tracking over a network of sensors with
limited spatial coverage. The proposed solution is based on the centralized data fusion …

This paper presents a new solution for statistical fusion of multi-sensor information acquired
from different fields of view, in a centralized sensor network. The focus is on applications that …

We propose a general sensor selection (SS) methodology for ocean-of-things (OoT) where a
sensing network performs multiobject tracking (MOT) under resource constraints. SS …

Tracking multiple maneuvering targets hidden in the Doppler blind zone (DBZ) is a
challenging problem. To overcome the complicated problem, we proposed a tracker based …

Since the submarine has become the major threat to maritime security, there is an urgent
need to find a more efficient method of anti-submarine warfare (ASW). The digital twin theory …

In this paper, we address the problem of resolvable group target tracking (RGTT) and the
application of RGTT in the sensor control scenarios. The aim of our approach is to further …